Browsing Øvrige samlinger by Title

Now showing items 3027-3046 of 34503

  • Automated Quantification of Human Osteoclasts Using Object Detection 
    Kohtala, Sampsa; Nedal, Tonje Marie Vikene; Carlo, Kriesi; Moen, Siv Helen; Ma, Qianli; Ødegaard, Kristin Sirnes; Standal, Therese; Steinert, Martin (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    A balanced skeletal remodeling process is paramount to staying healthy. The remodeling process can be studied by analyzing osteoclasts differentiated in vitro from mononuclear cells isolated from peripheral blood or from ...
  • Automated segmentation of magnetic resonance bone marrow signal: a feasibility study 
    von Brandis, Elisabeth; Jenssen, Håvard Bjørke; Avenarius, Derk Frederik Matthaus; Bjørnerud, Atle; Flatø, Berit; Tomterstad, Anders; Lilleby, Vibke; Rosendahl, Karen; Sakinis, Tomas; Zadig, Pia Karin Karlsen; Müller, Lil-Sofie Ording (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Abstract Background Manual assessment of bone marrow signal is time-consuming and requires meticulous standardisation to secure adequate precision of findings. Objective ...
  • Automated tracking of cell migration in phase contrast images with CellTraxx 
    Holme, Børge; Bjørnerud, Birgitte; Pedersen, Nina Marie; Rodriguez de la Ballina, Laura; Wesche, Jørgen; Haugsten, Ellen Margrethe (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    The ability of cells to move and migrate is required during development, but also in the adult in processes such as wound healing and immune responses. In addition, cancer cells exploit the cells’ ability to migrate and ...
  • Automated verification of dynamic root of trust protocols 
    Bursuc, Sergiu; Johansen, Christian; Xu, Shiwei (Journal article / Tidsskriftartikkel / SubmittedVersion, 2017)
    Automated verification of security protocols based on dynamic root of trust, typically relying on protected hardware such as TPM, involves several challenges that we address in this paper. We model the semantics of trusted ...
  • An automatic analysis of Norwegian compounds 
    Johannessen, Janne Bondi; Hauglin, Helge (Chapter / Bokkapittel / SubmittedVersion, 1998)
  • Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions 
    Isasi, Iraia; Irusta, Unai; Rad, Ali Bahrami; Aramendi, Elisabete; Zabihi, Morteza; Eftestøl, Trygve Christian; Kramer-Johansen, Jo; Wik, Lars (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Electrocardiogram (EKG) based classification of out-of-hospital cardiac arrest (OHCA) rhythms is important to guide treatment and to retrospectively elucidate the effects of therapy on patient response. OHCA rhythms are ...
  • Automatic Characterization of Boulders on Planetary Surfaces From High-Resolution Satellite Images 
    Prieur, Nils Charles; Amaro, Brian; Gonzalez, Emiliano; Kerner, Hannah; Medvedev, Sergei; Rubanenko, Lior; Werner, Stephanie C.; Xiao, Zhiyong; Zastrozhnov, Dmitry; Lapôtre, Mathieu G. A. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    Abstract Boulders form from a variety of geological processes, which their size, shape, and orientation may help us better understand. Furthermore, they represent potential hazards to spacecraft landing that need to be ...
  • Automatic Classification of Auroral Images From the Oslo Auroral THEMIS (OATH) Data Set Using Machine Learning 
    Clausen, Lasse Boy Novock; Nickisch, Hannes (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
    Based on their salient features we manually label 5,824 images from various Time History of Events and Macroscale Interactions during Substorms (THEMIS) all‐sky imagers; the labels we use are clear/no aurora, cloudy, moon, ...
  • Automatic colon polyp detection using region based deep CNN and post learning approaches 
    Shin, Younghak; Qadir, Hemin Ali Qadir; Aabakken, Lars; Bergsland, Jacob; Balasingham, Ilangko (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
    Automatic image detection of colonic polyps is still an unsolved problem due to the large variation of polyps in terms of shape, texture, size, and color, and the existence of various polyp-like mimics during colonoscopy. ...
  • Automatic Detection of Aortic Valve Events Using Deep Neural Networks on Cardiac Signals From Epicardially Placed Accelerometer 
    Wajdan, Ali; Jahren, Tollef Struksnes; Villegas-Martinez, Manuel; Khan, Faraz Hameed; Halvorsen, Per Steinar; Odland, Hans Henrik; Elle, Ole Jakob; Solberg, Anne H Schistad; Remme, Espen W. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Background: Miniaturized accelerometers incorporated in pacing leads attached to the myocardium, are used to monitor cardiac function. For this purpose functional indices must be extracted from the acceleration signal. A ...
  • Automatic Detection of Microaneurysms in Fundus Images Using an Ensemble-Based Segmentation Method 
    Raudonis, Vidas; Kairys, Arturas; Verkauskiene, Rasa; Sokolovska, Jelizaveta; Petrovski, Goran; Balciuniene, Vilma Jurate; Volke, Vallo (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    In this study, a novel method for automatic microaneurysm detection in color fundus images is presented. The proposed method is based on three main steps: (1) image breakdown to smaller image patches, (2) inference to ...
  • Automatic detection of valve events by epicardial accelerometer allows estimation of the left ventricular pressure trace and pressure–displacement loop area 
    Wajdan, Ali; Krogh, Magnus Reinsfelt; Villegas-Martinez, Manuel; Halvorsen, Per Steinar; Elle, Ole Jacob; Remme, Espen W. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    Abstract Measurements of the left ventricular (LV) pressure trace are rarely performed despite high clinical interest. We estimated the LV pressure trace for an individual heart by scaling the isovolumic, ejection and ...
  • Automatic epileptic seizure classification in multichannel EEG time series with linear discriminant analysis 
    Gao, Yongxiang; Zhao, Zhi; Chen, Yimin; Mahara, Gehendra; Huang, Jialing; Lin, Zhuochen; Zhang, Jinxin (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
    BACKGROUND: An electroencephalogram (EEG) is the most dominant method for detecting epileptic seizures. However, the existing techniques use single-channel EEGs from public databases and the sample size is small. OBJ ...
  • Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning 
    Grøndahl, Aurora Rosvoll; Huynh, Bao Ngoc; Tomic, Oliver; Søvik, Åste; Dale, Einar; Malinen, Eirik; Skogmo, Hege Kippenes; Futsæther, Cecilia Marie (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    Background Radiotherapy (RT) is increasingly being used on dogs with spontaneous head and neck cancer (HNC), which account for a large percentage of veterinary patients treated with RT. Accurate definition of the gross ...
  • Automatic identification of variables in epidemiological datasets using logic regression 
    Lorenz, Matthias W; Abdi, Negin A; Scheckenbach, Frank; Pflug, Anja; Bülbül, Alpaslan; Catapano, Alberico L; Agewall, Stefan; Ezhov, Marat; Bots, Michiel L; Kiechl, Stefan; Orth, Andreas (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2017)
    Background For an individual participant data (IPD) meta-analysis, multiple datasets must be transformed in a consistent format, e.g. using uniform variable names. When large numbers of datasets have to be ...
  • Automatic information extraction: a distant reading of the Brazilian Historical-Biographical Dictionary 
    Higuchi, Suemi; Freitas, Cláudia; Santos, Diana (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2022)
    We present some results of applying natural language processing (NLP) techniques in the domain of History, having as object of investigation the Brazilian Historical-Biographical Dictionary (Dicionário Histórico-Biográfico ...
  • Automatic measurement of aortic annulus diameter in 3-dimensional transoesophageal echocardiography 
    Bersvendsen, Jørn; Beitnes, Jan Otto; Urheim, Stig; Aakhus, Svend; Samset, Eigil (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2014)
    Background Transcatheter aortic valve implantation involves percutaneously implanting a biomechanical aortic valve to treat severe aortic stenosis. In order to select a proper device, precise sizing of the aortic valve ...
  • Automatic measuring of finger joint space width on hand radiograph using deep learning and conventional computer vision methods 
    Ponnusamy, Raj; Zhang, Ming; Chang, Zhiheng; Wang, Yue; Guida, Carmine; Kuang, Samantha; Sun, Xinyue; Blackadar, Jordan; Driban, Jeffrey B.; McAlindon, Timothy; Duryea, Jeffrey; Schaefer, Lena; Eaton, Charles B.; Bos-Haugen, Ida Kristin; Shan, Juan (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)
    Hand osteoarthritis (OA) severity can be assessed visually through radiographs using semi-quantitative grading systems. However, these grading systems are subjective and cannot distinguish minor differences. Joint space ...
  • Automatic piecewise linear regression 
    von Ottenbreit, Mathias; De Bin, Riccardo (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2024)
    Abstract Regression modelling often presents a trade-off between predictiveness and interpretability. Highly predictive and popular tree-based algorithms such as Random Forest and boosted trees predict very well the outcome ...
  • Automatic prediction of ischemia-reperfusion injury of small intestine using convolutional neural networks: A pilot study 
    Hou, Jie; Strand-Amundsen, Runar; Tronstad, Christian; Høgetveit, Jan Olav; Martinsen, Ørjan Grøttem; Tønnessen, Tor Inge (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Acute intestinal ischemia is a life-threatening condition. The current gold standard, with evaluation based on visual and tactile sensation, has low specificity. In this study, we explore the feasibility of using machine ...